Triticum aestivum
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA145199 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional changes were monitored in the wheat cultivar Renan 24 hours post i noculation with adapted and non-adapted Magnaporthe isolates using the Affymetrix wheat genome array GeneChip®. Wheat plants cv. Renan were grown in a peat and sand (1:1) mix at 23 C in a Sanyo Fitotron growth cabinet (Sanyo Gallenkamp PLC, Loughborough, U.K.) with a 16/8 h, light/dark cycle. Three Magnaporthe isolates were used in this expt, two wheat-adapted isolates (BR32, BR37) and one wheat non-adapted isolate (BR29). Magnaporthe isolates were grown for eleven days on Complete Media Agar at 25 C under a 16/8h, light/dark cycle. Conidia were harvested by flooding the plates with 5 mL of sterile inoculation solution [0.25% (w/v) gelatine and 0.01% (v/v) Tween 20] and scraping the conidia from the surface using a sterile glass rod. Conidia were filtered through sterile miracloth and the density adjusted to 1 x 10 5 conidia mL-1 with inoculation solution. Fourteen day old wheat seedlings mist inoculated with 4 mL of a Magnaporthe conidia suspension and plants were sealed in plastic propagators to maintain relative humidity c.100% and kept at 25 C in the dark for the first 24 hours post inoculation (hpi). Inoculation solution without Magnaporthe conidia was used as a mock-inoculation control. Leaf samples were collected 24 hpi for transcriptomics analysis from three independent biological experiments. Leaf tissue was ground under liquid nitrogen and total RNA extracted using a QIAquick RNeasy Plant Extraction Kit (Qiagen, Hilden, Germany), followed by TURBO DNaseTM (Ambion, Texas, U.S.A.) treatment. RNeasy Mini Spin column purification (Qiagen) was used to further purify RNA samples for array hybridisation. RNA quality checks, cRNA conversion and Affymetrix genome array hybridisation was carried out by the Nottingham Arabidopsis Stock Centre (NASC) array hybridisation service (http://affymetrix.arabidopsis.info/). ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Graham McGrann. The equivalent experiment is TA24 at PLEXdb.] pathogen isolates: Mock-inoculated (Control)(3-replications); pathogen isolates: Wheat non-adapted Magnaporthe isolate BR29(3-replications); pathogen isolates: Wheat adapted Magnaporthe isolate BR32(3-replications); pathogen isolates: Wheat adapted Magnaporthe isolate BR37(3-replications)
2011-08-30 | E-GEOD-31760 | biostudies-arrayexpress
Project description:Magnaporthe oryzae is the causative agent of the rice blast, the most relevant rice disease worldwide. To date expression analysis on rice infected with Magnaporthe oryzae have been carried out only with the strains FR13 (leaf) and Guy 11 (root). However different strains of Magnaporthe are present in the environment leading to different rice responses at molecular level. To gain more insight on the unknown molecular mechanisms activated by different Magnaporthe strains during rice defense, a global expression analysis was performed by using the GeneChip® Rice Genome Array. To identify rice genes differentially regulated upon infection by Magnaporthe isolates, inoculation with different strains were performed and samples were collected 24 hours post infection. RNA were obtained from leaf samples after inoculation of rice 2 week-old plantlets with the following strains: rice isolates Magnaporthe oryzae FR13 and CL367, non-adapted strain BR32, isolated from wheat, and Magnaporthe grisea BR29 isolated from crabgrass. Treated and control (mock) rice leaves (cv. Nipponbare) were collected 24 hours post inoculation. Three biological replicates for each interaction type and the corresponding mock were extracted and analysed independently with the GeneChip® Rice Genome Array.
2012-03-26 | E-GEOD-30941 | biostudies-arrayexpress
Project description:Transcriptional changes were monitored in the wheat cultivar Renan 24 hours post i noculation with adapted and non-adapted Magnaporthe isolates using the Affymetrix wheat genome array GeneChip®. Wheat plants cv. Renan were grown in a peat and sand (1:1) mix at 23 C in a Sanyo Fitotron growth cabinet (Sanyo Gallenkamp PLC, Loughborough, U.K.) with a 16/8 h, light/dark cycle. Three Magnaporthe isolates were used in this expt, two wheat-adapted isolates (BR32, BR37) and one wheat non-adapted isolate (BR29). Magnaporthe isolates were grown for eleven days on Complete Media Agar at 25 C under a 16/8h, light/dark cycle. Conidia were harvested by flooding the plates with 5 mL of sterile inoculation solution [0.25% (w/v) gelatine and 0.01% (v/v) Tween 20] and scraping the conidia from the surface using a sterile glass rod. Conidia were filtered through sterile miracloth and the density adjusted to 1 x 10 5 conidia mL-1 with inoculation solution. Fourteen day old wheat seedlings mist inoculated with 4 mL of a Magnaporthe conidia suspension and plants were sealed in plastic propagators to maintain relative humidity c.100% and kept at 25 C in the dark for the first 24 hours post inoculation (hpi). Inoculation solution without Magnaporthe conidia was used as a mock-inoculation control. Leaf samples were collected 24 hpi for transcriptomics analysis from three independent biological experiments. Leaf tissue was ground under liquid nitrogen and total RNA extracted using a QIAquick RNeasy Plant Extraction Kit (Qiagen, Hilden, Germany), followed by TURBO DNaseTM (Ambion, Texas, U.S.A.) treatment. RNeasy Mini Spin column purification (Qiagen) was used to further purify RNA samples for array hybridisation. RNA quality checks, cRNA conversion and Affymetrix genome array hybridisation was carried out by the Nottingham Arabidopsis Stock Centre (NASC) array hybridisation service (http://affymetrix.arabidopsis.info/). ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Graham McGrann. The equivalent experiment is TA24 at PLEXdb.]
2011-08-31 | GSE31760 | GEO
Project description:In this experiment the transcriptome reprogramming in wheat during host and nonhost interaction with Magnaporthe sp. was analyzed in a time-series approach. Seven days old wheat plants of cv. Renan were mock-inoculated or inoculated with adapted Magnaporthe isolate Br116.5 from wheat or non-adapted isolate CD180 from Pennisetum. After 6, 12, 24 and 48 hours the abaxial epidermis was sampled. Total RNA was extracted using the RNeasy Plant Mini Kit with on-column DNase digestion (Qiagen, Hilden, Germany), and hybridized to Agilent 44k oligonucleotide arrays.
2017-12-02 | E-MTAB-5635 | biostudies-arrayexpress
Project description:We collected infected wheat leaf material at up to nine time points per Z. tritici isolate and conducted confocal microscopy analyses to select samples for RNA extraction and transcriptome sequencing based on the morphological infection stage. Thereby, we generated stage-specific RNA-seq datasets corresponding to the four core infection stages allowing us to compare the isolate-specific expression profiles at the same developmental stage of infection. Our final dataset comprises four stage-specific transcriptomes per isolate with two biological replicates per sample. Comparative transcriptome analyses reveal that the expression phenotypes of the three isolates differ significantly.
2018-04-25 | GSE106136 | GEO
Project description:To better understand the regulatory mechanisms of water stress response in wheat, the transcript profiles in roots of two wheat genotypes, namely, drought tolerant 'Luohan No.2' (LH) and drought susceptible 'Chinese Spring' (CS) under water-stress were comparatively analyzed by using the Affymetrix wheat GeneChip®. A total of 3831 transcripts displayed 2-fold or more expression changes, 1593 transcripts were induced compared with 2238 transcripts were repressed, in LH under water-stress; Relatively fewer transcripts were drought responsive in CS, 1404 transcripts were induced and 1493 were repressed. Comparatively, 569 transcripts were commonly induced and 424 transcripts commonly repressed in LH and CS under water-stress. 689 transcripts (757 probe sets) identified from LH and 537 transcripts (575 probe sets) from CS were annotated and classified into 10 functional categories, and 74 transcripts derived from 80 probe sets displayed the change ratios no less than 16 in LH or CS. Several kinds of candidate genes were differentially expressed between the LH and CS, which could be responsible for the difference in drought tolerance of the two genotypes.
2012-01-01 | GSE30872 | GEO
Project description:The pistillody mutant wheat (Triticum aestivum L.) plant HTS-1 exhibits homeotic transformation of stamens into pistils or pistil-like structures. Unlike common wheat varieties, HTS-1 produces three to six pistils per floret, potentially increasing the yield. Thus, HTS-1 is highly valuable in the study of floral development in wheat. In this study, we conducted RNA sequencing of the transcriptomes of the pistillody stamen (PS) and the pistil (P) from HTS-1 plants, and the stamen (S) from the non-pistillody control variety Chinese Spring TP to gain insights into pistil and stamen development in wheat.
2014-03-14 | E-MTAB-4469 | biostudies-arrayexpress
Project description:Fusarium graminearum (F.g) is responsible for Fusarium head blight (FHB), which is a destructive disease of wheat that accumulates mycotoxin such as deoxynivalenol (DON) and makes its quality unsuitable for end use. Several FHB resistant varieties development is going on world-wide. However the complete understanding of wheat defence response, pathogen (Fusarium graminearum) disease development mechanism and the gene crosstalk between organisms is still unclear. In our study focused to analyse pathogen (F. graminearum) molecular action in different Fusarium head blight resistance cultivars during the disease development. To understand the Fusarium graminearum pathogen molecular reaction, microarray gene expression analysis was carried out by using Fusarium graminearum (8 x 15k) Agilent arrays at two time points (3 & 7 days after infection) on three wheat genotypes (Japanese landrace cv. Nobeokabouzu-komugi - highly resistant, Chinese cv. Sumai 3 - resistant and Australian cv. Gamenya - susceptible), which spikes infected by Fusarium graminearum ‘H-3’strain. During the disease development the pathogen biomass as well as the expression of Trichothecene biosynthesis involved genes (Tri genes) in three wheat cultivars was determined. In our material no relation between fungus biomass and the disease symptoms were observed, however, it showed relation with fungus virulence factors expression (Tri genes). For the first time, we report the nature of Fusarium graminearum gene expression in the FHB-highly resistant cv. Nobeokabouzu-komugi during the disease development stage and the possible underlying molecular response.
2015-03-14 | GSE66772 | GEO
Project description:Wheat is the staple food of over 35% of the world’s population, accounts for 20% of all human calories, and its yield and quality improvement is a focus in the effort to meet new demands from population growth and changing diets. As the complexity of the wheat genome is unravelled, determining how it is used to build the protein machinery of wheat plants is a key next step in explaining detailed aspects of wheat growth and development. The specific functions of wheat organs during vegetative development and the role of metabolism, protein degradation and remobilisation in driving grain production are the foundations of crop performance and have recently become accessible through studies of the wheat proteome. With the aim of creating a resource complementary to current genome sequencing and assembly projects and to aid researchers in the specific analysis and measurement of wheat proteins of interest, we present a large scale, publicly accessible database of identified peptides and proteins derived from the proteome mapping of Triticum aestivum. This current dataset consists of twenty four organ and developmental samples in an online interactive resource allowing the selection, comparison and retrieval of proteomic data with rich biochemical annotation derived from multiple sources. Tissue specific sub-proteomes and ubiquitously expressed markers of the wheat proteome are identified alongside hierarchical assessment of protein functional classes and their presence in different tissues. The impact of wheat’s polyploid genome on proteome analysis and the effect on defining gene specific and protein family relationships is accounted for in the organisation of the data. The dataset will serve as a vehicle to build, refine and deposit confirmed targeted proteomic assays for wheat proteins and protein families to assess function.
2016-11-17 | PXD004720 | Pride